Zobrazeno 1 - 10
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pro vyhledávání: '"face reconstruction"'
Autor:
Zhao, Dapeng, Qi, Yue
3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple occluded sc
Externí odkaz:
http://arxiv.org/abs/2412.19849
Autor:
Zhao, Dapeng, Qi, Yue
Single-view 3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the input is unobstructed faces which makes their method not suitable for in-the-wild conditions. We present a metho
Externí odkaz:
http://arxiv.org/abs/2412.19848
Autor:
Zhao, Dapeng, Qi, Yue
Over the past few years, single-view 3D face reconstruction methods can produce beautiful 3D models. Nevertheless,the input of these works is unobstructed faces.We describe a system designed to reconstruct convincing face texture in the case of occlu
Externí odkaz:
http://arxiv.org/abs/2412.18920
Face recognition systems extract embedding vectors from face images and use these embeddings to verify or identify individuals. Face reconstruction attack (also known as template inversion) refers to reconstructing face images from face embeddings an
Externí odkaz:
http://arxiv.org/abs/2411.03960
We present HAIFAI - a novel collaborative human-AI system to tackle the challenging task of reconstructing a visual representation of a face that exists only in a person's mind. Users iteratively rank images presented by the AI system based on their
Externí odkaz:
http://arxiv.org/abs/2412.06323
Autor:
Braeutigam, Valentin, Wirth, Vanessa, Ullmann, Ingrid, Schüßler, Christian, Vossiek, Martin, Berking, Matthias, Egger, Bernhard
The 3D reconstruction of faces gains wide attention in computer vision and is used in many fields of application, for example, animation, virtual reality, and even forensics. This work is motivated by monitoring patients in sleep laboratories. Due to
Externí odkaz:
http://arxiv.org/abs/2412.02403
Autor:
Lu, Yiren, Wei, Huawei
This is a challenge report of the ECCV 2022 WCPA Challenge, Face Reconstruction Track. Inside this report is a brief explanation of how we accomplish this challenge. We design a two-branch network to accomplish this task, whose roles are Face Reconst
Externí odkaz:
http://arxiv.org/abs/2409.14249
3D face reconstruction from monocular images has promoted the development of various applications such as augmented reality. Though existing methods have made remarkable progress, most of them emphasize geometric reconstruction, while overlooking the
Externí odkaz:
http://arxiv.org/abs/2409.09740
Autor:
La Cava, Simone Maurizio, Concas, Sara, Tolosana, Ruben, Casula, Roberto, Orrù, Giulia, Drahansky, Martin, Fierrez, Julian, Marcialis, Gian Luca
3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios. These assumptions limit their use when acquisition conditions, such as the subject's distance from the camera or the camera's chara
Externí odkaz:
http://arxiv.org/abs/2409.10481
Geometry and texture estimation from a single face image is an ill-posed problem since there is very little information to work with. The problem further escalates when the face is rotated at a different angle. This paper tries to tackle this problem
Externí odkaz:
http://arxiv.org/abs/2410.16009